Package | Description |
---|---|
org.apache.mahout.cf.taste.impl.recommender | |
org.apache.mahout.cf.taste.impl.recommender.svd |
Modifier and Type | Class and Description |
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class |
AbstractCandidateItemsStrategy
Abstract base implementation for retrieving candidate items to recommend
|
class |
AllSimilarItemsCandidateItemsStrategy
returns the result of
ItemSimilarity.allSimilarItemIDs(long) as candidate items |
class |
AllUnknownItemsCandidateItemsStrategy |
class |
PreferredItemsNeighborhoodCandidateItemsStrategy |
class |
SamplingCandidateItemsStrategy
Returns all items that have not been rated by the user (3) and that were preferred by another user
(2) that has preferred at least one item (1) that the current user has preferred too.
|
Modifier and Type | Method and Description |
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protected static CandidateItemsStrategy |
AbstractRecommender.getDefaultCandidateItemsStrategy() |
Constructor and Description |
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AbstractRecommender(DataModel dataModel,
CandidateItemsStrategy candidateItemsStrategy) |
GenericBooleanPrefItemBasedRecommender(DataModel dataModel,
ItemSimilarity similarity,
CandidateItemsStrategy candidateItemsStrategy,
MostSimilarItemsCandidateItemsStrategy mostSimilarItemsCandidateItemsStrategy) |
GenericItemBasedRecommender(DataModel dataModel,
ItemSimilarity similarity,
CandidateItemsStrategy candidateItemsStrategy,
MostSimilarItemsCandidateItemsStrategy mostSimilarItemsCandidateItemsStrategy) |
Constructor and Description |
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SVDRecommender(DataModel dataModel,
Factorizer factorizer,
CandidateItemsStrategy candidateItemsStrategy) |
SVDRecommender(DataModel dataModel,
Factorizer factorizer,
CandidateItemsStrategy candidateItemsStrategy,
PersistenceStrategy persistenceStrategy)
Create an SVDRecommender using a persistent store to cache factorizations.
|
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